Planning: FIRE-PLAN: Community Building Toward an Immersive Forest Network to Catalyze Wildland Fire Solutions and Training

规划：FIRE-PLAN：建立沉浸式森林网络的社区，以促进荒地火灾解决方案和培训

基本信息

批准号：
2341120
负责人：
Ilkay Altintas
金额：
$ 19.97万
依托单位：
University of California-San Diego
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2023
资助国家：
美国
起止时间：
2023-10-01 至 2025-09-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2341120&HistoricalAwards=false
关键词：
Planning FIRE PLAN Community Building

项目摘要

One way to proactively address the wildfire crisis is by increasing the resilience of our landscapes through vegetation treatments such as prescribed fires. The outcomes of a prescribed fire depend largely on fuel structure. Yet, many fire models currently are limited to two-dimensional sources of data, and also provide two-dimensional outputs that do not capture important fire dynamics. A key shift is underway in fire models and management: a shift from two-dimensional (2D) to three-dimensional (3D) fire modeling tools. This planning effort lays the foundation for sensing pathways and workflows to improve the characterization of fuels at large spatial extents and fine spatial scales to enhance the representation of fire in modeling and forecasting. Immersive visualizations of fuel and fire modeling will be shared at the World Design Capital 2024 Pavilion in San Diego, California. A series of meetings among a diverse set of stakeholders paves the way for real-time, immersive visualization of scientific data and the AI-readiness of these datasets toward new modes of training, decision making, and public communication related to wildland fire management, including prescribed fires. Overall, the project aims to: (1) identify current gaps in fuel structure representation in models, (2) prototype a workflow from field data collection to fuel and fire models to visualizations of modeling outputs, (3) build real-world use cases with diverse communities, and (4) plan for a national-scale Immersive Forest and Wildland Fire Management Network.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

主动解决野火危机的一种方法是，通过植被治疗（例如开处方大火）来提高景观的韧性。规定的火的结果在很大程度上取决于燃料结构。然而，许多目前的火灾模型仅限于二维数据来源，并且还提供了二维输出，这些输出不会捕获重要的火力动态。火灾模型和管理中正在进行关键的转变：从二维（2D）到三维（3D）火灾建模工具的转变。这项计划的工作为传感途径和工作流程奠定了基础，以改善大型空间范围和细小空间尺度上燃料的表征，以增强火灾在建模和预测中的表示。燃料和火灾建模的沉浸式可视化将在加利福尼亚州圣地亚哥的世界设计资本2024 Pavilion共享。在各种利益相关者之间举行的一系列会议为实时，身临其境的科学数据可视化以及这些数据集的AI铺平了道路，以实现与野生火灾管理有关的新型培训模式，决策和公共交流方式，包括规定的火灾。 Overall, the project aims to: (1) identify current gaps in fuel structure representation in models, (2) prototype a workflow from field data collection to fuel and fire models to visualizations of modeling outputs, (3) build real-world use cases with diverse communities, and (4) plan for a national-scale Immersive Forest and Wildland Fire Management Network.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the基金会的智力优点和更广泛的影响评论标准。